Umanist Staffing
Website:
umaniststaffing.com
Job details:
Additional Important Note for Applicants
- Currently, only immediate joiners (who have already completed their notice period) or candidates serving a notice period of up to 30 days will be considered for this opportunity.
- Candidates with longer notice periods may not be considered at this stage due to urgent project requirements.
Important Note for Applicants
Kindly read the job description carefully before applying. Please apply only if your experience, technical skills, and notice period align with the mandatory requirements mentioned above. Profiles that do not meet the core criteria may face rejection during the screening process, which can lead to unnecessary time and effort from both sides. We appreciate your understanding and cooperation.
SAP AI Developer
Experience: 3–12 Years
Location: (mentioned locations) Hybrid
Employment Type: Full-time
Job Overview
We are looking for a skilled SAP AI Developer with strong expertise in Python, SQL, and SAP technologies to build enterprise-grade AI and data-driven solutions. The ideal candidate should have hands-on experience in Generative AI, SAP AI services, SAP HANA, and cloud-native application development, along with strong problem-solving and data optimization capabilities.
Key Skills Required
- Advanced SQL / Spark SQL / PySpark
- Python for AI & backend development
- SAP HANA Modeling & Development
- Generative AI Applications
- Prompt Engineering & RAG Pipelines
- SAP AI Core, SAP AI Launchpad, SAP Joule
- SAP Build / Joule Studio
- LangChain, LangGraph, CrewAI or similar frameworks
- Vector Databases & Semantic Search
- Cloud-native Application Development
- MLOps / LLMOps Concepts
- SAP & Non-SAP Data Integration
Good to Have
- JavaScript / TypeScript knowledge
- Domain experience in Telecom, Healthcare, or Insurance
- SAP Joule Certification
Roles & Responsibilities
- Develop scalable Python, SQL, and SQL Script-based solutions.
- Build and implement Generative AI and agent-based applications.
- Design RAG pipelines, prompt workflows, and AI orchestration services.
- Integrate data from SAP and non-SAP source systems.
- Develop reusable, performance-optimized data models and services.
- Support both real-time and batch data processing scenarios.
- Optimize SQL queries, views, and data pipelines for performance.
- Ensure data accuracy, validation, and reconciliation across systems.
- Implement model deployment, monitoring, and lifecycle management workflows.
- Troubleshoot performance issues and support continuous improvements.
- Collaborate with business and technical teams to convert requirements into technical solutions.
Candidate Requirements
- 3+ years of relevant experience in SAP, AI, or data engineering projects.
- Strong hands-on experience with SQL, Spark SQL, PySpark, and Python.
- Experience building enterprise AI solutions using LLMs such as GPT or Claude.
- Understanding of SAP data models and business process integration.
- Familiarity with Agile methodologies, DevOps practices, and project management tools like Jira or Azure TFS.
- Strong analytical, communication, and collaboration skills.
Education
- Bachelor’s degree in Computer Science, IT, Engineering, or equivalent qualification.
Skills: mlops,llmops,sap joule,pyspark,sap hana modeling,prompt engineering,langgraph,advanced sql,langchain,generative ai applications,python,backend development,python for ai,sap ai core,crewai,spark sql,rag pipelines,sap ai launchpad,sap build
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